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Description:
Yobi is a rapidly growing tech company focused on behavioral modeling and personalization, aiming to ethically democratize the AI revolution.
The company has been assembling one of the largest consented behavioral datasets in the US since its founding in 2019.
Yobi's proprietary AI model enhances machine learning and marketing performance for leading brands, agencies, and Martech/AdTech platforms.
The Machine Learning Engineer (MLE) on the Core Signals team will focus on representation learning related to user-behavioral modeling and using core models to support new and existing products.
This role requires collaboration with the Product organization and Applications team to implement R&D advancements, functioning as a "full stack" ML role.
Daily responsibilities include data processing, model training, deployment, and evaluation.
The position requires a willingness to take on various functions as needed in a fast-growing startup environment.
Requirements:
Candidates should have a solid understanding of machine learning to apply it to novel problems and suggest improvements to existing setups.
Experience with representation learning, embeddings drift, CTR modeling, and sequence modeling is preferred, especially in an industrial setting with "big data."
Applicants should be able to contribute to non-research components of the pipeline, including data orchestration, build systems, and experiment tracking.
Familiarity with open-source products like Airflow, Bazel, Github CI/CD, and Spark is beneficial, but prior experience with these specific tools is not required.
A good product sense is essential, with the ability to provide opinions on product-market fit and implementation strategies.
Benefits:
Yobi offers a competitive base salary to its employees.
There is a bonus structure available for qualifying employees.
Employees receive meaningful equity and financial upside, representing a real percentage of the company.
Health, dental, and vision insurance are provided.